Analytics Engineer

Roll Kall was founded by a retired police officer with one goal in mind: help public safety professionals—police, firefighters, EMTs—connect with their communities through something called off‑duty work. These are extra‑duty jobs that enhance local safety while putting some extra cash in first responders’ pockets.

We built the platform that makes it easy, efficient, and trusted—for departments, officers, and the organizations that need them.

Roll Kall is seeking an experienced Analytics Engineer to join our Business Intelligence team and shape the foundation of our analytics infrastructure. You'll build and maintain high‑quality data pipelines, establish best practices for data transformation and validation, and drive adoption of AI‑powered tools—all while building the dashboards and reports our stakeholders depend on. This role bridges data engineering and business intelligence, with a tech stack that includes Domo (cloud data warehouse and visualization), SQL Server, and Azure Logic Apps for third‑party integrations.

• Design and implement data quality frameworks, including validation rules, testing procedures, and monitoring systems to ensure data accuracy and reliability
• Build and maintain comprehensive technical documentation for all data assets, including data dictionaries, transformation logic, business rules, and data lineage
• Enforce analytics engineering best practices and standards across the BI environment
• Proactively identify and resolve data quality issues, conduct root cause analysis, and implement preventive measures
• Champion data governance initiatives and serve as the quality advocate for the BI team

• Design, develop, and optimize data transformations using Domo's Magic ETL (both visual dataflows and SQL)
• Build scalable, performant data models that serve as the foundation for reporting and analytics
• Create and maintain Domo dashboards, cards, and visualizations based on business requirements
• Manage Domo platform administration, including user access, dataset schedules, and dataflow performance optimization
• Develop and automate reports and scheduled deliveries to support business operations
• Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver actionable insights
• Troubleshoot data discrepancies and performance issues across the analytics stack

• Evaluate Domo's AI capabilities and help develop a roadmap for adopting AI‑powered features that enhance data quality, self‑service analytics, and business insights
• Leverage existing AI tools (e.g., Claude Code) to accelerate documentation creation and improve data discovery
• Champion the strategic use of AI within the BI environment to drive efficiency and innovation
• Stay current with emerging analytics engineering trends and Domo platform developments

• Demonstrated experience owning data quality initiatives and implementing validation frameworks
• Proven track record of building technical documentation and establishing process standards
• Experience working independently and taking full ownership of projects from requirements through delivery
• 5‑7 years of hands‑on experience in analytics engineering, business intelligence, data analytics, or related roles.

• BI Platform
  
  Experience:
  
  Strong experience with at least one modern BI platform (Domo strongly preferred; Tableau, Power BI, or similar platforms acceptable)
• ETL/Data Transformation:
  Hands‑on experience building and maintaining ETL/ELT pipelines and data transformation workflows
• Data Modeling:
  Solid understanding of dimensional modeling, data warehousing concepts, and analytics‑ready data structure
• Version Control:
  Experience with Git Hub for code repository management
• SQL Expertise:
  Advanced SQL skills, including query optimization, performance tuning, complex joins, and window function optimization

• Excellent communication skills with the ability to translate technical concepts for non‑technical audiences
• Strong analytical and problem‑solving abilities
• Ability to work…